Hand-held medical equipment fault detection terminal system based on edge computing technology

Abstract

The invention belongs to the technical field of fault detection, and discloses a handheld medical equipment fault detection terminal system based on an edge computing technology. Comprising a trigger, a trigger switch, a display, a hardware control key area, a data interface, a deployment type electromagnetic induction tag, a power supply and debugging interface area, a data communication port, an electromagnetic induction circuit, a low-power-consumption Bluetooth communication circuit, a tag processor MCPU, a data interface, a power supply module and a battery rear cover. According to the invention, the change condition of the electrical performance of the equipment after startup is detected through the electromagnetic induction technology, and then the calculation and analysis module is directly integrated in the detected handheld terminal, so that the'on-and-play 'of the handheld terminal is realized. Therefore, the system is only composed of an integrated handheld terminal, and the handheld terminal adopts an embedded terminal architecture and an Android development system and can be carried about; a built-in power supply can be used for charging, and a display screen is used for displaying a detection result and operating a detection process.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of fault detection, and particularly relates to a handheld medical device fault detection terminal system based on edge computing technology. BACKGROUND

[0002] With the increasing number of hospital medical devices, such as imaging equipment (CT, MRI), vital sign monitors, anesthesia machines, infusion pumps, etc., the stable operation of the devices is crucial for the diagnosis and treatment efficiency of medical institutions and patient safety. However, the existing medical device fault detection technology still has many deficiencies, mainly in poor portability, low detection accuracy, etc., affecting the maintenance efficiency of the devices and the continuity of medical services.

[0003] 1. Existing technology 1: manual inspection-based medical device fault detection

[0004] Currently, most medical institutions still rely on manual inspection and manual diagnosis to detect medical device faults. Device maintenance personnel need to regularly inspect the devices, relying on experience to judge the running state of the devices, or using simple self-checking functions to determine whether there are abnormalities. However, this method has the following problems:

[0005] Low efficiency: manual inspection is time-consuming and difficult to cover all devices, which can easily accumulate hidden dangers.

[0006] High misdiagnosis rate: relying on human experience to judge makes it difficult to accurately detect abnormalities in internal components of the device, and early faults are easily missed.

[0007] Cannot achieve remote monitoring: hospital devices are widely distributed, and traditional inspection methods cannot perform real-time monitoring and remote maintenance, affecting fault handling efficiency.

[0008] 2. Existing technology 2: traditional sensor detection system

[0009] Some medical devices have integrated sensor monitoring technology, such as monitoring of temperature, humidity, current, voltage, and other physical parameters to determine whether the device is running abnormally. This method has made some progress compared to manual inspection, but still has the following problems:

[0010] Limited detection accuracy: traditional sensors can only monitor a single physical parameter and cannot perform multi-dimensional data fusion analysis, limiting their ability to diagnose complex faults.

[0011] No intelligent analysis function: the data collected by sensors usually needs to be analyzed manually and cannot automatically identify potential fault patterns, resulting in insufficient fault warning capabilities.

[0012] High maintenance cost: different devices require different types of sensors, and some sensors have limited lifespan, resulting in increased maintenance costs.

[0013] Traditional manual inspection and basic sensor monitoring methods have problems of poor portability, low efficiency, high misjudgment rate and insufficient early warning capability in medical equipment fault detection. In the future, intelligent, portable and accurate medical equipment fault detection terminal systems will become an important direction for medical institutions to improve equipment maintenance efficiency and ensure the safe and stable operation of medical equipment. SUMMARY

[0014] In view of the problems existing in the prior art, the application provides a handheld medical equipment fault detection terminal system based on edge computing technology.

[0015] The application is implemented as follows: a handheld medical equipment fault detection terminal system based on edge computing technology comprises:

[0016] a trigger, a trigger switch, a display, a hardware control key area, a data interface, a deployment type electromagnetic induction label, a power supply and a debugging interface area, a data communication port, an electromagnetic induction circuit, a Bluetooth communication circuit, a label processor MCPU, a data interface, a power module, and a battery back cover.

[0017] The trigger is used for quickly detecting an electromagnetic field, and when a real-time monitoring sensor is empty or fails, or rapid fault diagnosis is needed, the trigger is used for non-contact detection of electromagnetic field changes near a power module of any equipment.

[0018] The trigger switch is pressed during use, and when inaccurate conditions occur during the test process, the detection can be continued by locking the button.

[0019] The display is an ITO material LCD touch screen display screen, which is used for displaying data and results, an operable function interface, and visual management requirements, and the function keys include basic operation buttons of "on / off", "start detection", "pause detection", "up, down, left, right", "confirm", and "exit".

[0020] The hardware control key area is used for selecting and confirming the interface on the display when the touch screen fails but can display.

[0021] The data interface is internally integrated with CPU and memory, and can process data and obtain results by itself, but the internal software version, analysis capability and functionality need to be updated, and the interface can be used to connect a computer end for maintenance, and the interface is provided with various data interfaces such as USB3.0 interface *2, RJ45 interface and type C interface.

[0022] The deployment type electromagnetic induction label is used for deploying the electromagnetic induction label on the equipment for the separable host computer, the label is internally provided with an electromagnetic induction circuit, a power supply circuit and a Bluetooth low energy (BLE) 5.0 module circuit, the electromagnetic induction circuit is designed to be amplified, and the real equipment electromagnetic field change can be reflected through the amplification circuit multiple; the power supply circuit is internally provided with a battery, and the label can be continuously powered for about 3 months, and the label can be continuously charged when placed in a handheld terminal; the BLE 5.0 circuit can continuously detect the data returned by the handheld terminal, realize real-time data return, and analyze, record and display the results by the handheld terminal.

[0023] The power supply and the debugging interface area.

[0024] Further, the deployment type electromagnetic induction label comprises a data communication port, an electromagnetic induction circuit, a Bluetooth low energy communication circuit, a label processor MCPU, a data interface, a power module and a battery back cover.

[0025] Further, the data communication port is used for updating and maintaining the internal control system of the label.

[0026] Further, the electromagnetic induction circuit is used for detecting the electromagnetic field change amount of the power supply.

[0027] Further, the Bluetooth low energy communication circuit is used for transmitting data.

[0028] Further, the label processor MCPU is used for processing the normal operation of all function modules of the label.

[0029] Further, the data interface is used for debugging and power supply of the label.

[0030] Further, the power module is used for supplying power to the label circuit through the button cell.

[0031] Further, the battery back cover is used for replacing the battery area.

[0032] Another object of the application is to provide a handheld medical equipment fault detection terminal detection method based on edge computing technology, comprising the following steps:

[0033] Step 1, through the device information display of the device information management module, the new device is inputted;

[0034] Step 2, through the label information management of the detection terminal management module, the label and the device are associated and managed, and the label data is managed;

[0035] Step 3, through the fault knowledge base management module, the fault event, the fault feature, the repair suggestion and the accessory information are contained; through the correlation maintenance module, the fault event and the feature are associated, the device and the detection terminal are associated, and the repair suggestion and the fault event are associated.

[0036] Step 4, real-time data reporting through the data reporting and analysis module, historical data analysis, report generation and export, KPI monitoring, identification method import and update;

[0037] Step 5, login / logout through the login personnel identity management module, permission management, user information management;

[0038] Step 6, equipment dictionary update, feature dictionary update, fault dictionary update, software update and upgrade, system log recording, fault diagnosis and recovery, hardware state monitoring through the system maintenance module;

[0039] Step 7, device locking and unlocking, data access control, antivirus and malicious software protection, security policy configuration through the security module.

[0040] In combination with the above technical solutions and the technical problems solved, the advantages and positive effects of the technical solutions to be protected by the present application are analyzed from the following aspects:

[0041] In the existing medical equipment fault detection technology, the problems such as low efficiency of manual inspection, limited detection accuracy of traditional sensors, heavy and inconvenient to carry of detection equipment seriously affect the maintenance and management of medical equipment. In view of these difficulties, the present application proposes a handheld medical equipment fault detection terminal system based on electromagnetic induction detection, which integrates electromagnetic induction, edge computing, embedded terminal architecture, Android development system, and provides a light, accurate and efficient intelligent detection scheme.

[0042] The present application adopts electromagnetic induction technology to detect the electrical performance change of medical equipment after starting, and integrates the calculation and analysis module directly in the detection terminal, realizing the function of opening and using the handheld terminal immediately. The traditional detection equipment usually needs to connect multiple external modules, while the integrated handheld terminal designed by the present application can complete fault detection only by relying on the built-in electromagnetic induction system, without the need for additional connection of other equipment, greatly improving the convenience and detection efficiency.

[0043] In addition, the handheld terminal of the present application adopts embedded architecture and Android system, has high computing power, intelligent operation and wireless communication function, can directly display the detection results through the touch screen, and supports remote data synchronization, improving the maintenance and management efficiency of medical equipment. The built-in power supply of the system can be charged, and the appearance design is similar to that of a mobile phone, which is convenient to carry and suitable for multiple scenes such as hospitals, equipment maintenance institutions and medical equipment manufacturers.

[0044] Innovation and commercial value of the present application

[0045] 1. Expected income and commercial value after transformation of the technical solution

[0046] The application of the technical scheme of the present application not only improves the intelligent level of medical equipment detection, but also creates great commercial value in equipment management, maintenance efficiency, hospital operation cost control, etc.

[0047] Improving medical equipment management efficiency and reducing maintenance cost

[0048] Through rapid detection by handheld terminal, the maintenance period of medical equipment can be shortened by more than 50%, the repair cost is reduced by 30%-40%, the equipment downtime is reduced, and the hospital operation efficiency is improved.

[0049] Reduce manual inspection cost and improve detection accuracy

[0050] Traditional manual inspection requires professional engineers to detect manually, which is high in cost and high in misjudgment rate. The intelligent detection scheme of the present application makes the detection process automatic, visual and accurate, effectively reducing manual errors.

[0051] Promote remote intelligent maintenance and improve after-sales service capability

[0052] The system supports Bluetooth, WiFi and wired connection, and can be connected with medical equipment manufacturers or hospital equipment management systems to realize remote diagnosis and fault prediction, improve the quality of after-sales maintenance service, and reduce economic losses caused by equipment downtime.

[0053] Intelligent portable equipment, wide market demand

[0054] The handheld detection terminal of the present application is compact in design and suitable for hospitals, third-party equipment detection institutions, medical equipment manufacturers and other markets, and has wide market promotion prospects.

[0055] At present, the fault detection of medical equipment on the international market is mainly based on large detection equipment, manual inspection and single sensor monitoring, and has not formed an integrated, intelligent and portable detection terminal. The present application fills the gap in the following aspects:

[0056] Global first "handheld + intelligent detection" integrated equipment

[0057] Traditional medical equipment detection tools are large in size, while the portable design of the present application breaks through the space limitation, realizes the miniaturization and handheldness of the detection equipment, is convenient to carry, and is suitable for use in multiple scenes.

[0058] Traditional detection equipment usually relies on physical contact sensors, while the present application uses non-contact electromagnetic induction to directly detect the change of electromagnetic field of the equipment, improve the detection accuracy and safety, and avoid interference to the internal circuit of the equipment.

[0059] Intelligent data analysis to improve fault prediction capability

[0060] The integrated edge computing and AI diagnosis algorithm can automatically analyze the running state of the equipment, predict potential failure risks, and provide real-time maintenance suggestions.

[0061] The prior art is mainly for specific medical equipment models, and is difficult to be used across equipment. The application adopts general electromagnetic induction technology + intelligent software adaptation, and is compatible with MRI, CT, anesthesia machine, ventilator, infusion pump and other equipment, and realizes all-round equipment management.

[0062] The handheld medical equipment fault detection terminal system provided by the application realizes accurate fault diagnosis, non-contact detection and remote intelligent maintenance of medical equipment through electromagnetic induction detection, edge computing and Android intelligent system.

[0063] 1. The integrated handheld detection terminal is the first in the world, which replaces the traditional heavy detection equipment and is portable, efficient and ready to use.

[0064] 2. Non-contact electromagnetic induction detection improves detection accuracy and reduces equipment damage risk.

[0065] 3. Edge computing + AI intelligent analysis provides fault prediction and maintenance suggestions, and improves the intelligent level of equipment management.

[0066] 4. Bluetooth / WiFi remote data transmission supports remote maintenance and optimizes hospital equipment management mode.

[0067] 5. Reducing the maintenance cost of medical equipment, improving the operation efficiency of hospital, the market demand is wide, has extremely high commercial value.

[0068] The application fills the technical blank in the field of medical equipment detection at home and abroad, and provides an innovative, efficient and intelligent equipment management scheme for hospitals, medical equipment manufacturers and equipment maintenance institutions, and promotes the development of medical equipment management to a new era of intelligentization. BRIEF DESCRIPTION OF DRAWINGS

[0069] Figure 1 The edge computing technology handheld medical equipment fault detection terminal system structure block diagram provided by the embodiment of the application.

[0070] Figure 2 The edge computing technology handheld medical equipment fault detection terminal system front view provided by the embodiment of the application.

[0071] Figure 3 The edge computing technology handheld medical equipment fault detection terminal system back view provided by the embodiment of the application.

[0072] Figure 4A structure diagram of a deployment type electromagnetic induction label provided by an embodiment of the present application.

[0073] Figure 5 A flow chart of a handheld medical device fault detection terminal detection method of an edge computing technology provided by an embodiment of the present application.

[0074] Figure 6 A login interface diagram provided by an embodiment of the present application.

[0075] Figure 7 An initial interface-overview interface after login provided by an embodiment of the present application, and the current detection result can display the interface diagram in real time.

[0076] Figure 8 A device overview interface-device repair suggestion jump diagram provided by an embodiment of the present application.

[0077] Figure 9 A medical instrument list-device information management overview interface diagram provided by an embodiment of the present application.

[0078] Figure 10 A medical instrument list-add new device diagram provided by an embodiment of the present application.

[0079] Figure 11 A medical instrument list-delete device diagram provided by an embodiment of the present application.

[0080] Figure 12 A medical instrument list-manual calibration device state diagram provided by an embodiment of the present application.

[0081] Figure 13 A medical instrument list-associated detection terminal diagram provided by an embodiment of the present application.

[0082] Figure 14 A medical instrument list-device query function diagram provided by an embodiment of the present application.

[0083] Figure 15 A detection terminal list-device detection association and detection result overview table provided by an embodiment of the present application, and the current detection result can display the interface diagram in real time.

[0084] Figure 16 A detection terminal list-interface result refreshing diagram provided by an embodiment of the present application.

[0085] Figure 17 A detection terminal list-manual calibration running state diagram provided by an embodiment of the present application.

[0086] Figure 18 A detection terminal list-data acquisition chart display diagram of an associated single device provided by an embodiment of the present application.

[0087] Figure 19 is the jump after the time condition screening measurement result (can be accurate to seconds) figure provided by the embodiment of the application.

[0088] Figure 20 is the historical data query-shows all equipment data once detected by each detection terminal figure provided by the embodiment of the application.

[0089] Figure 21 is the historical data query-screening terminal figure provided by the embodiment of the application.

[0090] Figure 22 is the historical data query-screening terminal figure provided by the embodiment of the application.

[0091] Figure 23 is the historical data query-all data figure that can export the current screening condition provided by the embodiment of the application.

[0092] Figure 24 is the historical data query-refreshes the current result figure provided by the embodiment of the application.

[0093] Figure 25 is the historical data query-selects the number of current page display results figure provided by the embodiment of the application.

[0094] Figure 26 is the historical data query-selects the number of pages to jump figure provided by the embodiment of the application.

[0095] Figure 27 is the fault rule list-modifies, adds equipment type and fault type and the overview interface figure of the rule provided by the embodiment of the application.

[0096] Figure 28 is the fault rule list-adds equipment type, fault type and fault rule figure provided by the embodiment of the application.

[0097] Figure 29 is the fault rule list-rule table export figure provided by the embodiment of the application.

[0098] Figure 30 is the fault rule list-condition query, which can support fuzzy search of equipment type, name, brand, model and fault name figure provided by the embodiment of the application.

[0099] Figure 31 is the fault rule list-fault rule modification (other function keys are shown in 3.6.1) figure provided by the embodiment of the application.

[0100] Figure 32 is the fault rule list-deletion of single / batch fault rules figure provided by the embodiment of the application.

[0101] Figure 33 is a page of the current page display result selection of the fault rule list provided by the embodiment of the present application.

[0102] Figure 34 is a page of the number of pages to be jumped of the fault rule list provided by the embodiment of the present application.

[0103] Figure 35 is a page of the current identification fault processing situation log display interface of the fault event processing record provided by the embodiment of the present application.

[0104] Figure 36 is a page of the jump after manual calibration processing state of the fault event processing record provided by the embodiment of the present application.

[0105] Figure 37 is a page of the current collected data background researcher analysis interface of the detection data analysis provided by the embodiment of the present application, which is used for analyzing new fault rules.

[0106] Figure 38 is a page of the function key annotation of the detection data analysis provided by the embodiment of the present application.

[0107] Figure 39 is a page of refreshing the page provided by the embodiment of the present application.

[0108] Figure 40 is a page of the data result analysis and display calibration of the detection data analysis provided by the embodiment of the present application.

[0109] Figure 41 is a page of the device detection log provided by the embodiment of the present application, which is used for displaying log information in the device detection process.

[0110] Figure 42 is a page of the system setting provided by the embodiment of the present application, which is used for menu management, setting platform display and system interface of use habit.

[0111] Figure 43 is a page of the role management provided by the embodiment of the present application, which is used for setting allocation login administrator permission interface.

[0112] Figure 44 is a page of the administrator management provided by the embodiment of the present application, which is used for administrator information log interface of the system.

[0113] In the figure: 1, trigger; 2, trigger switch; 3, display; 4, hardware control keypad; 5, data interface; 6, deployment type electromagnetic induction tag; 7, power supply and debugging interface area; 8, data communication port; 9, electromagnetic induction circuit; 10, Bluetooth communication circuit; 11, tag processor MCPU; 12, data interface; 13, power module; 14, battery back cover. DETAILED DESCRIPTION

[0114] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application will be further described in detail below in combination with embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0115] When the trigger 1 is pressed and close to the power module of the equipment to be measured, the multi-coil sensing array in the deployment type electromagnetic induction tag 6 synchronously senses the 50Hz / 60Hz and its harmonic electromagnetic field changes; the weak induction voltage is amplified by 40dB by the low-noise differential amplifier of the electromagnetic induction circuit 9, and the effective frequency band is limited to 10Hz-500kHz by the active Butterworth band-pass filter, so as to suppress the wideband noise and parasitic components outside the power frequency.

[0116] The amplified and filtered analog signal enters the 16bit Delta-Sigma ADC for digitization at the highest sampling rate of 256kS / s; the tag processor MCPU 11 writes the sampling data into the 512kB Ring Buffer first, adopts the DMA mode to be parallel with the main control MCU, and avoids the data loss caused by the interruption jitter. The cache full threshold is set to 64kB, and once it is reached, the subsequent edge computing process is triggered.

[0117] The main MCU takes data from the Ring Buffer in batches through the high-speed SPI, first executes the adaptive LMS noise reduction based on the sliding window (length 1024 points), models and eliminates the persistent power grid ripple in real time; then calls the hardware FPU to complete the 1024-point Radix-4 FFT for each frame of data, and locates the nonlinear peaks above 4kHz in the amplitude spectrum to extract the parasitic harmonics that may correspond to the breakdown of the switching tube and the partial discharge of the transformer.

[0118] The system extracts features in both frequency and time domains in parallel: the frequency domain side obtains the main harmonic amplitude ratio, total harmonic distortion (THD) and peak count; the time domain side calculates the short-time energy, envelope root mean square and low-order Teager-Kaiser energy operator. All features are normalized and input into the edge Tiny-CNN model, which only contains 3 convolution layers and 1 fully connected layer, with a total parameter of <25kB, and can complete inference on a 64MHz MCU within 2ms, outputting the three classifications of “normal, early failure, and serious failure” and the confidence.

[0119] If the confidence is greater than or equal to 0.85, the algorithm result is considered valid; otherwise, 3 frames of data are added and majority voting is performed. The final diagnosis is uploaded to the hospital CMMS server through the low-power Bluetooth communication circuit 10 using BLE 5.2 Coded PHY (500 kbps) encryption broadcast or through the MQTT-TLS tunnel of the data communication port 8, realizing local-cloud dual-path backup.

[0120] The display 3 presents the harmonic spectrum and diagnosis level in real time in a graphical instrument; when the touch screen is unavailable, the hardware control key area 4 can be used to scroll through the historical records. The background firmware uses the USB-C port to obtain the latest model weight file from the maintenance terminal during idle time, and after SHA-256 verification, it is hot-loaded to the MCU Flash, ensuring that the classifier is continuously iterated with new medical device categories and fault modes, and the entire signal chain forms a closed-loop self-evolving data processing system.

[0121] As shown in Figure 1 , Figure 2 , Figure 3 The handheld medical device fault detection terminal system provided by the embodiment of the application comprises:

[0122] The trigger 1, the trigger switch 2, the display 3, the hardware control key area 4, the data interface 5, the deployment type electromagnetic induction label 6, the power supply and the debugging interface area 7, the data communication port 8, the electromagnetic induction circuit 9, the low-power Bluetooth communication circuit 10, the label processor MCU 11, the data interface 12, the power supply module 13, and the battery back cover 14.

[0123] The trigger 1 is used for quickly detecting an electromagnetic field, and when a real-time monitoring sensor is empty or faulty, or when a fault needs to be quickly diagnosed, the trigger connector is used to detect the electromagnetic field change near the power module of any device in a non-contact manner.

[0124] The trigger switch 2 needs to be pressed during use because the detection process consumes a lot of power, and when inaccurate conditions occur during the test process, the detection can be continued by locking the button.

[0125] The display 3 is an ITO material LCD touch screen display screen, which is used to display data and results, operable function interfaces, and visual management requirements. The function keys include “on / off”, “start detection”, “pause detection”, “up, down, left, right”, “confirm”, and “exit” basic operation buttons.

[0126] The hardware control key area 4 can be used when the touch screen is faulty but can display, and can be used to select and confirm the interface on the display.

[0127] Data interface 5, because the internal integration CPU and memory, can handle data to get results, but the internal software version, analysis ability and functionality, need to update software, can use the interface to connect computer for maintenance, the interface is provided with USB3.0 interface 2, RJ45 interface, type C interface and various data interfaces;

[0128] The application adopts edge computing technology, combines electromagnetic induction detection, power module monitoring, low-power Bluetooth communication and intelligent data analysis, and constructs a portable and intelligent medical equipment fault detection terminal system. The system realizes rapid, accurate and non-contact fault detection of medical equipment through high-sensitivity electromagnetic induction tags, triggers, low-power Bluetooth communication modules and intelligent data processing units, improves maintenance efficiency and reduces medical risks caused by equipment failure.

[0129] 1. Trigger + electromagnetic induction tag: real-time monitoring of equipment electromagnetic field change, accurate positioning of fault

[0130] The trigger 1 in the system is used for detecting the electromagnetic field change around the power module of the medical equipment. When the medical equipment is running, its internal electronic components (such as transformer, capacitor, inductor, etc.) will generate specific electromagnetic signals. Through the deployment of electromagnetic induction tags 6, the system can capture these electromagnetic signals in real time and analyze whether there are abnormalities such as electromagnetic interference, short circuit or power failure.

[0131] Normal state: the electromagnetic signal of the medical equipment is stable, and the detection terminal records normal value.

[0132] Abnormal state: when the internal circuit of the equipment is damaged, the power supply is unstable or short circuit occurs, the electromagnetic field signal will change abnormally, and the trigger will transmit the data to the tag processor MCPU11 for analysis after detection.

[0133] Non-contact detection: the trigger uses non-contact electromagnetic induction, which can directly detect whether there is a problem in the power module without disassembling the equipment, improving detection efficiency and safety.

[0134] 2. Low-power Bluetooth + data interface: efficient transmission of detection data, supporting remote maintenance

[0135] The system uses a low-power Bluetooth communication circuit 10, which can transmit the detected equipment state data to the intelligent terminal (such as mobile phone, tablet computer, computer) in real time through wireless mode, and facilitate the remote monitoring of equipment state by operation and maintenance personnel. At the same time, the system provides various data interfaces (USB3.0, RJ45, TypeC, etc.), which can be stored, exported or updated locally to improve data management and equipment compatibility.

[0136] Remote data transmission: When the medical device detection terminal detects abnormal data in handheld mode, it can immediately transmit information to the hospital management system or device maintenance department through Bluetooth, achieving rapid fault positioning and response.

[0137] Multi-mode data storage: The system has edge computing capabilities, can perform data analysis locally, and provides multiple interfaces to support data export or software updates for long-term maintenance and system upgrades.

[0138] 3. Touch screen + hardware control buttons: Intelligent operation interface, improving user interaction experience

[0139] Display 3 uses an ITO material LCD touch screen to visually display detection data, fault diagnosis results, and provide a visual device management interface. Users can select functions, view historical detection records, and adjust detection parameters through touch screen operation. To avoid touch screen failure affecting operation, the system also comes with a hardware control keypad 4, providing manual operation functions, including "on / off", "start detection", "pause detection", "direction keys", "confirm", "exit", and other basic buttons, ensuring that even if the touch screen fails, the device can still be used normally.

[0140] Automatic detection mode: The system can automatically scan medical device electromagnetic signals, analyze device health status, and provide real-time feedback on detection results.

[0141] Manual detection mode: When automatic detection fails to identify specific faults, users can manually adjust detection parameters for further accurate analysis of the problem.

[0142] 4. Power supply system + intelligent power management: energy-efficient, ensuring long-term use

[0143] The device uses a high-efficiency power module 13 and an intelligent power management system, reducing energy consumption and improving battery life through the following methods:

[0144] Trigger switch 2 controls power consumption: Since electromagnetic field detection is power-consuming, the system is designed with a trigger switch that activates the electromagnetic induction module only when detection is needed, avoiding unnecessary power consumption.

[0145] Automatic standby mode: In the case of long-term non-use, the system will automatically enter a low-power standby mode to reduce energy consumption.

[0146] Battery cover 14 for easy replacement: The system is equipped with a detachable battery for easy power replacement, ensuring device stability during long-term use.

[0147] The handheld medical device fault detection terminal system of the present invention, based on electromagnetic induction, edge computing, low-power Bluetooth, intelligent data analysis, and other technologies, provides a portable, efficient, and accurate medical device maintenance solution.

[0148] Non-contact detection: real-time monitoring of equipment electromagnetic field changes through trigger + electromagnetic induction tag, quickly locating faults.

[0149] Remote data management: support Bluetooth wireless transmission + multi-interface data export, remote monitoring and maintenance in hospital management system.

[0150] Intelligent interaction: LCD touch screen + physical button dual operation mode, ensuring convenient and efficient user experience.

[0151] Low-power energy-saving design: intelligent power management, optimized endurance, and improved device stability.

[0152] The system overcomes the defects of traditional medical equipment detection methods, such as inconvenience, low detection accuracy, and low maintenance efficiency, and can be widely used in hospitals, medical device companies, equipment maintenance centers, etc., to improve medical equipment management level and ensure medical service safety.

[0153] As shown in Figure 4 The deployment type electromagnetic induction tag 6 is used to deploy the electromagnetic induction tag on the detachable host. The tag is internally provided with an electromagnetic induction circuit, a power supply circuit, and a low-power Bluetooth BLE 5.0 module circuit. The electromagnetic induction circuit is designed with amplification, which can react to the real equipment electromagnetic field change through the amplification circuit multiplier. The power supply circuit is internally provided with a battery, which can last for about 3 months. When placed in the handheld terminal, it can continuously charge the tag. The BLE 5.0 circuit can continuously transmit data to the detection handheld terminal to realize real-time data transmission, and the handheld terminal analyzes, records and displays the results.

[0154] The power supply and debugging interface area 7.

[0155] The deployment type electromagnetic induction tag 6 provided by the embodiment of the application comprises a data communication port 8, an electromagnetic induction circuit 9, a low-power Bluetooth communication circuit 10, a tag processor MCPU 11, a data interface 12, a power module 13, and a battery back cover 14.

[0156] The data communication port 8 provided by the embodiment of the application is used to update and maintain the internal control system of the tag.

[0157] The electromagnetic induction circuit 9 provided by the embodiment of the application is used to detect the electromagnetic field change of the power supply.

[0158] The low-power Bluetooth communication circuit 10 provided by the embodiment of the application is used for data transmission.

[0159] The tag processor MCPU 11 provided by the embodiment of the application is used to process all function modules of the tag.

[0160] The data interface 12 provided by the embodiment of the present application is used for label debugging and power supply.

[0161] The power module 13 provided by the embodiment of the present application is used for supplying power to the label power supply circuit through a button cell.

[0162] The battery back cover 14 provided by the embodiment of the present application is used for replacing the battery area.

[0163] As shown in the figure, the handheld medical equipment fault detection terminal detection method provided by the embodiment of the present application comprises: Figure 5

[0164] S101, device information display through a device information management module, new device entry;

[0165] S102, label information management through a detection terminal management module, label and device association management, and label data collection management;

[0166] S103, through a fault knowledge base management module, containing fault events, fault characteristics, repair suggestions, and accessory information; through an association maintenance module, fault events and characteristics are associated, devices and detection terminals are associated, and repair suggestions and fault events are associated;

[0167] S104, real-time data reporting, historical data analysis, report generation and export, KPI monitoring, identification method import and update through a data reporting and analysis module;

[0168] S105, login / logout, permission management, and user information management through a login personnel identity management module;

[0169] S106, device dictionary update, characteristic dictionary update, fault dictionary update, software update and upgrade, system log recording, fault diagnosis and recovery, and hardware state monitoring through a system maintenance module;

[0170] S107, device locking and unlocking, data access control, virus and malicious software protection, and security policy configuration through a security module.

[0171] The present application is specifically implemented:

[0172] Hardware part:

[0173] The above are three views of the terminal design, each module has independent functions, which are introduced as follows:

[0174] Trigger: the trigger is used for rapid detection of electromagnetic field, when the real-time monitoring sensor is empty or fails, or rapid fault diagnosis is needed, at this time, the trigger connector can be used to detect the electromagnetic field change near the power module of any device without contact; ​

[0175] Trigger switch: Because the detection process is very power-consuming, the trigger switch needs to be pressed during use. When inaccurate situations occur during the test process, the detection can be continued by locking the button;

[0176] Display: LCD touch screen display made of ITO material, used to display data and results, operable function interface, and visual management of requirements. Function keys include "on / off", "start detection", "pause detection", "up, down, left, right", "confirm", "exit", and other basic operation buttons;

[0177] Hardware control key area: When the touch screen fails but can display, the hardware control key area can be used to select and confirm the interface on the display;

[0178] Data interface: Because the CPU and memory are integrated internally, the data can be processed to obtain the results. However, when the internal software version, analysis capability, and functionality need to be updated, the interface can be used to connect the computer for maintenance. The interface area is equipped with USB3.0 interface*2, RJ45 interface, typeC interface, and other data interfaces;

[0179] Deployable electromagnetic induction tag: This area is a separable host for deploying electromagnetic induction tags on the device. The tag is equipped with an electromagnetic induction circuit, a power supply circuit, and a low-power Bluetooth BLE 5.0 module circuit. The electromagnetic induction circuit is designed with amplification, which can react to the real device electromagnetic field changes through the amplification circuit multiplier. The power supply circuit is equipped with a battery, which can last for about 3 months. When placed in the handheld terminal, it can continuously charge the tag. The BLE 5.0 circuit can continuously transmit data back to the detection handheld terminal, realizing real-time data transmission. The handheld terminal analyzes and records the results. The design of the tag is as follows:

[0180] Data communication port: used for updating and maintaining the internal control system of the tag;

[0181] Electromagnetic induction circuit: used for detecting the electromagnetic field change of the power supply;

[0182] Low-power Bluetooth communication circuit: used for data transmission;

[0183] Tag processor MCPU: used for processing all functional modules of the tag to function normally;

[0184] Data interface: used for debugging and power supply of the tag

[0185] Power module: supplies power to the tag circuit through a button cell;

[0186] Battery cover: replace the battery area;

[0187] Power supply and debugging interface area:

[0188] Software part:

[0189] The handheld terminal built-in software platform, the progressive framework VUE development of user interface, the server adopts CentOS7.5 operating system development, and the development language is Java programming language, and the database is PostgreSql database, and it contains but is not limited to the following function modules:

[0190] The handheld medical equipment fault detection terminal system of the application integrates electromagnetic induction detection, data communication, low-power Bluetooth transmission, label information processing, intelligent software management and other technologies, aims at realizing accurate, real-time and intelligent medical equipment fault detection and management. The system includes hardware modules and software platforms, and the two work together to realize efficient and convenient equipment management and maintenance.

[0191] 1. Hardware working principle: electromagnetic induction detection + data communication

[0192] (1) Electromagnetic induction detects the change of electromagnetic field, accurately identifies faults

[0193] The electromagnetic induction circuit in the system can monitor the electromagnetic field change of the power module of the medical equipment in real time, detect the stability, strength and fluctuation of the signal, so as to judge whether the equipment has faults. For example:

[0194] Normal equipment: the electromagnetic field signal is stable, and there is no abnormal change.

[0195] Equipment failure: if the electromagnetic field anomaly (such as voltage fluctuation, short circuit, component aging) is detected, the system will immediately trigger an alarm and upload data for analysis.

[0196] (2) Low-power Bluetooth transmission, real-time synchronization of detection data

[0197] The low-power Bluetooth communication circuit wirelessly transmits the detected equipment electromagnetic field data, running state and other information to the handheld terminal or hospital management system, realizing remote diagnosis.

[0198] Real-time data transmission: reduces manual data entry, improves detection efficiency.

[0199] Remote monitoring of equipment: hospital management personnel can check the equipment status at any time, predict fault risk, maintain in advance and reduce equipment downtime.

[0200] (3) Intelligent label processor (MCPU), accurate execution function

[0201] The tag processor (MCPU) is responsible for controlling all functional modules of the tag, ensuring the normal operation of electromagnetic induction, data communication, power supply system, etc., while managing the storage, processing and transmission of tag data.

[0202] The device tag can store historical detection data for future traceability analysis.

[0203] Through the data communication port, the internal control system of the tag can be updated and maintained to ensure device compatibility and stability.

[0204] (4) Independent power supply system to ensure long-term operation

[0205] Powered by a coin cell battery, it has low energy consumption and ensures long-term stable operation of the tag.

[0206] Battery cover design supports quick battery replacement, extending the service life of the device.

[0207] 2. Software working principle: intelligent management platform

[0208] The handheld terminal uses VUE progressive framework to develop the front-end interface, the server is based on CentOS 7.5, the back-end uses Java programming language, and the database uses PostgreSQL, with core functions such as device management, data analysis, fault diagnosis, and permission control.

[0209] (1) Device information management module: full life cycle management

[0210] This module is responsible for the registration, information display, and running state tracking of the device, allowing real-time viewing of device status and automatic generation of maintenance work orders when a fault occurs.

[0211] New device entry: supports scanning device tags to automatically enter device basic information (model, usage time, responsible person, etc.).

[0212] Device state monitoring: real-time updates of device operation status, and automatic push of alarm information when a fault is detected.

[0213] (2) Fault knowledge base management: improve fault diagnosis efficiency

[0214] The system has a built-in medical device fault knowledge base, covering historical fault events, fault characteristics, repair suggestions, and spare parts information, helping maintenance personnel quickly troubleshoot and repair device problems.

[0215] Automatic association of fault information: the system can match the current device fault with historical data to provide repair suggestions.

[0216] Fault prediction function: combined with big data analysis, identify high-risk devices, remind users to maintain in advance, and reduce the risk of device downtime.

[0217] (3) Data Analysis and Report Management: Accurate Assessment of Equipment Health

[0218] Real-time Data Reporting: Automatically generate reports on equipment operation data, providing detailed performance analysis.

[0219] Historical Data Analysis: Trend analysis of past equipment operation status to identify potential issues.

[0220] KPI Monitoring: Monitor equipment availability, maintenance frequency, mean time between failures (MTBF), and other indicators to provide the basis for optimizing equipment procurement and maintenance for the hospital.

[0221] Data Export: Support for generating fault reports in Excel and PDF formats for easy management and archiving.

[0222] (4) Permission Management and Security Strategy: Protect Data Security

[0223] User Identity Management: Different levels of users (hospital managers, equipment maintenance personnel, ordinary users) have different permissions.

[0224] Device Locking and Unlocking: Remote locking of devices with abnormal conditions to prevent misuse and ensure medical safety.

[0225] Data Access Control: Ensure that sensitive data can only be viewed and modified by authorized personnel.

[0226] Anti-virus and Security Protection: The system has anti-virus function to prevent malicious software attacks and improve data security.

[0227] 3. System Fault Diagnosis Process

[0228] 1. Detection Trigger

[0229] Users approach medical equipment with handheld terminals, triggering electromagnetic induction circuits to detect changes in equipment electromagnetic field signals.

[0230] 2. Data Collection and Analysis

[0231] The electromagnetic induction tag captures power signals and transmits them to the MCPU for data processing.

[0232] The low-power Bluetooth communication circuit transmits data to the handheld terminal, which automatically analyzes the data and determines whether there is an anomaly.

[0233] 3. Fault Identification and Early Warning

[0234] The system compares the test results with the fault knowledge base. If an anomaly is found, it automatically identifies the fault category and provides repair recommendations.

[0235] 4. Fault Recording and Maintenance

[0236] The device information management module records and pushes the fault information to the maintenance personnel.

[0237] The maintenance personnel can repair according to the system recommended maintenance plan, and update the equipment state.

[0238] The handheld medical equipment fault detection terminal system of the present application combines electromagnetic induction technology, Bluetooth communication, intelligent software management and other innovative technologies, realizes precise detection, remote monitoring, intelligent analysis, safety management and other functions, and completely solves the problems of inaccurate detection, low maintenance efficiency, inconvenient data management and other problems in existing medical equipment maintenance.

[0239] Precise detection: The electromagnetic induction circuit can detect the power state of the medical equipment without contact, and accurately identify faults.

[0240] Intelligent analysis: Embedded terminal + edge computing, combined with fault knowledge base, realizes intelligent diagnosis and fault prediction.

[0241] Remote management: Bluetooth / WiFi remote data synchronization, supports hospital centralized management, improves maintenance efficiency.

[0242] Safety protection: Permission management + security policy, guarantee the safety of medical equipment data, prevent malicious attacks.

[0243] The application of the system can effectively improve the efficiency of hospital equipment management, reduce the medical risk caused by equipment failure, improve the overall medical service quality, and has broad market application prospect.

[0244] The following is the product classification and application field of the same type of fault identification:

[0245] 1. Fault identification system software platform

[0246] SmartSenseAI: Use machine learning algorithm to monitor equipment status in real time, predict potential faults.

[0247] Predictive Maintenance Suite: A comprehensive software solution, providing equipment health monitoring and fault prediction.

[0248] DiagnosticsPro: Advanced diagnostic tool for quickly identifying and solving complex system problems.

[0249] 2. Sensors and monitoring equipment

[0250] Vibration Sensor X1: Used for monitoring equipment vibration, finding abnormalities in time.

[0251] Temperature Sensor T2: Real-time monitoring of device temperature to prevent overheating issues.

[0252] Acoustic Monitoring Unit AMU-1: Identifies device faults through sound analysis.

[0253] 3. Industrial Internet of Things (IIoT) Solution

[0254] EdgeConnect IoT Gateway: Connects various industrial devices, collects data, and transmits it to the fault identification system.

[0255] CloudLink Analytics Platform: Cloud-based analytics platform that processes data from sensors and provides real-time fault warnings.

[0256] 4. Mobile Application and Remote Monitoring

[0257] FieldTech Mobile: A mobile application that allows field technicians to receive fault alerts and perform remote diagnostics.

[0258] RemoteView Maintenance: Provides real-time device status views, supporting remote fault identification and handling.

[0259] 5. Maintenance and Services

[0260] Proactive Maintenance Plan: Provides regular maintenance services for customers to ensure optimal performance of the fault identification system.

[0261] Expert Troubleshooting Service: Professional troubleshooting service to help customers solve complex problems.

[0262] The invention can play an important role in the field of medical equipment and can also be applied in various small and medium-sized electronic devices, including:

[0263] 1. Real-time monitoring and fault warning of medical devices

[0264] Through edge computing, the running data of medical devices (such as CT, MRI, ventilators, etc.) are analyzed in real time to detect abnormal vibration, temperature change or performance decline, and potential faults are warned in advance to reduce device downtime. In hospital equipment management, emergency medical equipment maintenance, operating room equipment monitoring, etc., it has good application effect.

[0265] 2. Intelligent diagnostic assistance

[0266] In combination with AI algorithms, the system can process medical images (such as X-rays, ultrasounds) or laboratory test data locally on the terminal, quickly identify abnormal medical electronic devices, and provide preliminary diagnosis suggestions, reducing cloud transmission delays. This system has good application effects in medical equipment management in primary medical institutions, remote medical consultations, and mobile medical vehicles.

[0267] 3. Surgical robot and precision equipment calibration

[0268] During surgery, the precision and stability of the robot arm are monitored in real time to ensure accurate operation. The device can also perform self-checks to prevent in-surgery failures. This function can be applied to minimally invasive surgery, orthopedic navigation surgery, dental robots, etc.

[0269] 54 Emergency medical support

[0270] In disaster or battlefield environments, during emergency treatment, the status of portable medical devices (such as defibrillators and ventilators) can be quickly detected to ensure device availability. The system also supports offline data storage and analysis, which can be applied to field hospitals, disaster medical stations, and air emergency services.

[0271] The core advantage of this system is local real-time processing, reducing dependence on the cloud, improving response speed, and enhancing data privacy protection. It is suitable for environments with dense medical equipment, sensitivity to delays, or limited network conditions.

[0272] 1. The technical effects related to the evidence obtained by the embodiments of the present invention.

[0273] 1.1. The core advantage of this system is local real-time processing, reducing dependence on the cloud, improving response speed, and enhancing data privacy protection. It is suitable for environments with dense medical equipment, sensitivity to delays, or limited network conditions.

[0274] 1.2. Login interface Figure 6

[0275] 1.3. Initial interface after login - overview interface, current detection results can be displayed in real time on this interface Figure 7

[0276] 1.3.1. Device overview interface - device repair suggestion jump Figure 8

[0277] 1.4. Medical instrument list - device information management overview interface Figure 9

[0278] 1.4.1. Medical instrument list - add device Figure 10

[0279] Medical instrument list - delete device Figure 11

[0280] Medical instrument list - manual calibration device status Figure 12

[0281] Medical instrument list - association detection terminal Figure 13

[0282] Medical instrument list - device query function Figure 14

[0283] 1.5. Detection terminal list - device detection association and detection result overview table, the current detection result can display this interface in real time Figure 15

[0284] 1.5.1. Detection terminal list - interface result refresh Figure 16

[0285] 1.5.2. Detection terminal list - manual calibration running status Figure 17

[0286] Detection terminal list - data acquisition chart display associated with a single device Figure 18

[0287] 1. Jump to the time condition filtering measurement result (can be accurate to seconds) Figure 19

[0288] 1.6. History data query - display all device data detected by each detection terminal Figure 20

[0289] History data query - filter the terminal to be viewed Figure 21

[0290] History data query - filter the terminal to be viewed Figure 22

[0291] History data query - all data under the current filtering condition can be exported Figure 23

[0292] History data query - refresh the current result Figure 24

[0293] History data query - select the number of results displayed on the current page Figure 25

[0294] History data query - select the number of pages to jump Figure 26

[0295] 1.7. Fault rule list - modify, add device type, fault type and rule overview interface Figure 27

[0296] Fault rule list - add device type, fault type and fault ruleFigure 28

[0297] 1. Device name entry;

[0298] 2. Device status selection;

[0299] 3. Device fault phenomenon description;

[0300] 4. Device name association (anti-misoperation);

[0301] 5. Device type association (anti-misoperation);

[0302] 6. Brand association (anti-misoperation);

[0303] 7. Specification type association (anti-misoperation);

[0304] 8. Fault rule entry, covering average values of current, voltage and power and threshold setting of variance thereof;

[0305] 9. Display / hide rule condition;

[0306] 10. Repair suggestion entry;

[0307] 11. Whether to enable the rule.

[0308] 1.7.1. Fault rule list - rule table export Figure 29

[0309] 1.7.2. Fault rule list - condition query, fuzzy search of device type, name, brand, model and fault name can be supported Figure 30

[0310] 1.7.3. Fault rule list - fault rule modification (other function keys are shown in 3.6.1) Figure 31

[0311] 1.7.4. Fault rule list - deletion of single / batch fault rules Figure 32

[0312] 1.7.5. Fault rule list - selection of number of results to be displayed on current page Figure 33

[0313] 1.7.6. Fault rule list - selection of number of pages to be jumped Figure 34

[0314] 1.8. Fault event handling record - current identified fault handling condition log display interface Figure 35

[0315] 1. Page refresh function key;

[0316] 2. Condition fuzzy search function (supporting fuzzy search of device type, name, specification model, and fault type condition);

[0317] 3. Manual calibration of processing status (if the normality is recognized after repair, automatic jump);

[0318] 4. Selection of page number to be jumped;

[0319] 5. Selection of page number to be jumped.

[0320] 1.8.1. Fault event processing record - jump after manual calibration of processing status Figure 36

[0321] 1.9. Detection data analysis - background researcher analysis interface for analysis of currently collected data, for creating and updating fault rules after analysis Figure 37

[0322] 1.9.1. Detection data analysis - annotation of each function key Figure 38

[0323] 1. Judgment coefficient of on-off state: (normal standby current - normal off current) * coefficient + normal off current = minimum standby current (for example, normal standby current 0.205 A, normal off current 0.15 A, minimum standby current is: (0.21-0.15) * 0.5 + 0.15 = 0.18 A);

[0324] 2. Selection of terminal to be detected;

[0325] 3. Time condition setting (accurate to seconds);

[0326] 4. Automatic identification of period position for periodic signal, and condition selection;

[0327] 5. Query confirmation;

[0328] 6. Clear the setting value of the condition in points 2-4;

[0329] 7. Refresh the page. (The detailed data graph is shown in Figure 39 )

[0330] 1.9.2. Detection data analysis - data result analysis and display calibration Figure 40

[0331] 1.10. Device detection log - display of log information in device detection process Figure 41

[0332] 1.11. System setting - menu management - setting platform display and system interface of use habit Figure 42

[0333] 1.12. System settings - role management - set up assigning login administrator permissions interface Figure 43

[0334] 1.13. System settings - administrator management - administrator information log interface using the system Figure 44 .

[0335] The above description is merely a specific implementation of the present application, but the protection scope of the present application is not limited thereto, and any modification, equivalent replacement and improvement made by any person skilled in the art within the technical range disclosed by the present application and within the spirit and principle of the present application shall be encompassed within the protection scope of the present application.

Claims

1. A handheld medical device fault detection terminal system based on edge computing technology, characterized in that, include: Trigger, trigger switch, display, hardware control key area, data interface, deployable electromagnetic induction tag, power and debugging interface area, data communication port, electromagnetic induction circuit, low power Bluetooth communication circuit, tag processor MCPU, data interface, power module, battery back cover; The trigger is used to quickly detect electromagnetic fields. When the sensor is out of power or malfunctions in real time, or when a fault needs to be quickly diagnosed, the trigger connector can be used to detect changes in the electromagnetic field near the power module of any device in a non-contact manner. The trigger switch needs to be pressed to be used. If inaccuracies occur during testing, the lock button can be used to keep the test running. The monitor uses an ITO-material LCD touch screen to display data and results, an operable functional interface, and visual management requirements. The function keys include basic operation buttons such as "Power On / Off", "Start Detection", "Pause Detection", "Up, Down, Left, Right", "OK", and "Exit". The hardware control key area is used to select and confirm the interface on the display when the touch screen malfunctions but can still be displayed. The data interface is used for internal software versioning, analysis capabilities, and functionality. When software updates are required, this interface is used to connect to a computer for maintenance. This area has multiple data interfaces, including two USB 3.0 interfaces, an RJ45 interface, and a Type-C interface. This deployable electromagnetic induction tag is used to deploy electromagnetic induction tags on detachable host devices. The tag integrates an electromagnetic induction circuit, a power supply circuit, and a Bluetooth Low Energy (BLE) 5.0 module circuit. The electromagnetic induction circuit features an amplification design, amplifying the actual changes in the device's electromagnetic field. The power supply circuit incorporates a battery, providing approximately three months of continuous battery life and allowing continuous charging when placed inside a handheld terminal. The BLE 5.0 circuit continuously detects data transmitted back from the handheld terminal, enabling real-time data transmission for analysis, recording, and display by the handheld terminal. Power supply and debugging interface area.

2. The handheld medical device fault detection terminal system based on edge computing technology as described in claim 1, characterized in that, The deployed electromagnetic induction tag includes: a data communication port, an electromagnetic induction circuit, a low-power Bluetooth communication circuit, a tag processor (MCPU), a data interface, a power module, and a battery back cover.

3. The handheld medical device fault detection terminal system based on edge computing technology as described in claim 2, characterized in that, The data communication port is used to update and maintain the tag's internal control system.

4. The handheld medical device fault detection terminal system based on edge computing technology as described in claim 2, characterized in that, The electromagnetic induction circuit is used to detect changes in the electromagnetic field of the power supply.

5. The handheld medical device fault detection terminal system based on edge computing technology as described in claim 2, characterized in that, The low-power Bluetooth communication circuit is used for data transmission.

6. The handheld medical device fault detection terminal system based on edge computing technology as described in claim 2, characterized in that, The tag processor MCPU is used to ensure that all functional modules of the tag are functioning normally.

7. The handheld medical device fault detection terminal system based on edge computing technology as described in claim 2, characterized in that, The data interface is used for tag debugging and power supply.

8. The handheld medical device fault detection terminal system based on edge computing technology as described in claim 2, characterized in that, The power module is used to power the tag circuitry via a button battery.

9. The handheld medical device fault detection terminal system based on edge computing technology as described in claim 2, characterized in that, The battery rear cover is used for the battery replacement area.

10. A method for detecting faults in a handheld medical device using edge computing technology, implementing a handheld medical device fault detection terminal system according to any one of claims 1 to 9, characterized in that, Includes the following steps: Step 1: Display equipment information through the equipment information management module and enter new equipment information; Step 2 involves managing tag information, tag-device association, and tag-collected data through the terminal management module. Step 3: The fault knowledge base management module includes fault events, fault characteristics, repair suggestions, and parts information; the correlation maintenance module associates fault events with characteristics, equipment with testing terminals, and repair suggestions with fault events. Step 4: Real-time data reporting, historical data analysis, report generation and export, KPI monitoring, and import and update of identification methods through the data reporting and analysis module; Step 5: Log in / log out, manage permissions, and manage user information through the user identity management module; Step 6: Update the device dictionary, feature dictionary, and fault dictionary through the system maintenance module; update and upgrade the software; record system logs; diagnose and recover faults; and monitor hardware status. Step 7: Configure security module devices for locking and unlocking, data access control, antivirus and malware protection, and security policies.

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